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Probability and Statistics (2013)

Organisers: Nick Whiteley, Feng Yu

Location: SM3

Held weekly. Aimed at anyone with an interest in probability and statistics. Each session will feature one or two talks, with odd weeks devoted to internal speakers and even weeks to external speakers. For announcements please send an email with "subscribe prob-stats-sem" in the text to sympa@sympa.bris.ac.uk.


View events from year:

Date and Time Event
Friday 18 January 2013
14:15		 (POSTPONED) Posterior weighted reinforcement learning with state uncertainty
David Leslie
Friday 25 January 2013
14:15		 Modelling timescales and efficient inference for Lagrangian time series
Adam Sykulski
Friday 25 January 2013
15:40		 Self-interacting random walks
Pierre Tarres
Friday 01 February 2013
14:15		 An algorithm to compute the power of Monte Carlo tests with guaranteed precision
Patrick Rubin-Delanchy
Friday 08 February 2013
14:15		 Wavelet-based estimation of the long memory parameter in Gaussian non-gappy and gappy time series
Peter Craigmile
Friday 08 February 2013
15:40		 Is the brain Bayesian?
David Leslie
Friday 15 February 2013
14:15		 Stochastic Fictitious Play with Continuous Action Sets
Steven Perkins
Friday 22 February 2013
15:40		 Generalized particle filters
Dan Crisan
Friday 08 March 2013
14:15		 Optimal filtering and the dual process
Omiros Papaspiliopoulos
Friday 15 March 2013
14:15		 Resolving Antarctic Ice Mass Trends
Andrew Zammit-Mangion
Friday 15 March 2013
15:40		 Waiting on Distributed Content
Jean-Francois Chamberland
Friday 26 April 2013
14:15		 *Cancelled* - Hierarchical, non-parametric Bayesian clustering of digital gene expression data
Dimitris Vavoulis
Friday 26 April 2013
14:30		 Embedding Laws in Diffusions by Functions of Time
Alexander Cox
Friday 03 May 2013
16:00		 Mean Field Variational Bayesian Inference for Marginal Longitudinal Semiparametric Regression
Marianne Menictas
Friday 03 May 2013
16:30		 Statistical aspects of persistent homology
Matthew Arnold
Friday 10 May 2013
14:15		 Functions, Covariances, and Learning Foreign Languages
John Aston